about the company
our client specializes in leveraging computer vision technologies to create innovative solutions within the healthcare industry. Their primary focus is on enhancing medical imaging, diagnostic tools, and patient monitoring systems through advanced visual data analysis. By utilizing machine learning algorithms, they aim to improve the accuracy of diagnoses, streamline clinical workflows, and enhance patient care. Their projects often involve developing tools for automated image interpretation, early disease detection, and surgical assistance, pushing the boundaries of AI-driven healthcare technology.
...
about the role
you will be developing innovative solutions that leverage visual data in the healthcare industry. Your responsibilities will include designing, implementing, and optimizing advanced computer vision algorithms and models to analyze medical images and other visual data sources. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and healthcare professionals, to understand the requirements of various projects and translate them into effective AI solutions.
about the job
- lead the development of state-of-the-art computer vision applications that improve diagnostic accuracy and efficiency.
- conduct research and implement machine learning models that enhance image recognition, segmentation, and classification tasks.
- utilize deep learning frameworks and tools to build and fine-tune models tailored for healthcare applications.
- stay updated on the latest advancements in computer vision and machine learning to drive innovation within the team.
- mentor junior engineers and contribute to best practices in AI model development and deployment.
knowledge, skills and experience
- strong understanding of computer vision techniques and algorithms, including image processing, object detection, segmentation, and classification.
- proficient in Python programming. Knowledge of other languages like C++ is a plus.
- familiarity with popular libraries such as OpenCV and scikit-image is essential.
- experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for building and training convolutional neural networks (CNNs) and other architectures specifically tailored for visual data.
- understanding of fundamental machine learning principles, model evaluation metrics, and techniques for overfitting prevention.
- experience with tools like Git for version control and collaboration on software projects.
how to apply
please click the link to apply if you are interested and feel you meet the qualifications for this role.
